WAVLab | @CarnegieMellon retweeted
My Google Scholar h-index just reached 100! 🙂
My first paper was in 1999, and behind these 100 are students and collaborators in academia and industry, plus the open-source community and challenges.
This number is really yours. Thank you all! 🙏
scholar.google.com/citations…
WAVLab | @CarnegieMellon retweeted
🚀 A new conference is coming!
ASLI 2027: IEEE International Conference on Audio, Speech, and Language Intelligence
Continuing the legacy of ASRU and SLT, ASLI brings together audio, speech, language & intelligence.
Singapore | Nov. 29–Dec. 4, 2027
2027.ieeeasli.org/
WAVLab | @CarnegieMellon retweeted
A long-held dream, finally real: JSALT 2027 comes to Japan!!
Tohoku University, Sendai, 14 Jun – 6 Aug 2027. One problem, one team drawn from academia, industry and government, in residence. A first in Japan in three decades.
1-page proposals due 16 Oct: forms.gle/Q6ZSxkJtLLRZcnJQ9
WAVLab | @CarnegieMellon retweeted
Interspeech 2026 in Sydney starts this Sunday, Sept. 27! We present 2 tutorials and 19 papers 🙂
Sunday tutorials:
- On the Landscape of Spoken Language Models (AM)
- Conversational Speech Recognition & Analysis with Speech LMs (PM)
If you see me, say hi 😉 See you in Sydney!
WAVLab | @CarnegieMellon retweeted
Excited to share our new paper to be presented at SLT 2026 in Palermo! 🇮🇹 🎉
We show that phone segmentation and recognition can be solved jointly by manipulating SSL representations using less than a minute of labeled speech. (1/n)
WAVLab | @CarnegieMellon retweeted
Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh, Chin-Jou Li, Eunjung Yeo, Daisuke Saito, Nobuaki Minematsu, Shinji Watanabe, Jian Zhu, David Harwath, David R. Mortensen, "Phone Segmentation and Recognition through Phonological Activation Mapping" arxiv.org/abs/2607.09020
WAVLab | @CarnegieMellon retweeted
Excited to share that our work on ESPnet3 has been accepted to Interspeech 2026! We’ll be releasing it soon, stay tuned!
Masao Someki, et al., "ESPnet3: Infrastructure for Scalable Speech and Audio Research in the Foundation Model Era" arxiv.org/abs/2606.21854
WAVLab | @CarnegieMellon retweeted
Masao, Someki, et al., "PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding,", arxiv.org/abs/2605.20414
WAVLab | @CarnegieMellon retweeted
We are looking for a postdoctoral researcher in speech and audio processing, with a possible start in the Fall 2026 semester. If you are interested in working with us, please apply through the following form: forms.gle/gfENMMrRf1nmnTJeA
WAVLab | @CarnegieMellon retweeted
Accepted to ICML! See y’all in Korea 🇰🇷
What if you had nano-banana for audio?
AudioChat is a multi-modal LM that performs fine-grained understanding, generation, and editing of multi-source scenes
By diffusing continuous latents, it generates 48khz stereo edits with great input adherence:
wanchichen.github.io/audioch…
WAVLab | @CarnegieMellon retweeted
6 papers (4 main and 2 findings) were accepted at #ACL2026! All are speech papers :)
WAVLab | @CarnegieMellon retweeted
Shikhar Bharadwaj, Chin-Jou Li, Kwanghee Choi, Eunjung Yeo, William Chen, Shinji Watanabe, David R. Mortensen, "An Empirical Recipe for Universal Phone Recognition," arxiv.org/abs/2603.29042
WAVLab | @CarnegieMellon retweeted
PRiSM: Benchmarking Phone Realization in Speech Models
Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero Jacome, Kalvin Chang, Darsh Agrawal, …
arxiv.org/abs/2601.14046 [𝚌𝚜.𝙲𝙻 𝚌𝚜.𝚂𝙳]
WAVLab | @CarnegieMellon retweeted
Chenda Li, Wei Wang, Marvin Sach, Wangyou Zhang, Kohei Saijo, Samuele Cornell, Yihui Fu, Zhaoheng Ni, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian, "ICASSP 2026 URGENT Speech Enhancement Challenge," arxiv.org/abs/2601.13531
WAVLab | @CarnegieMellon retweeted
Pu Wang, Shinji Watanabe, Hugo Van hamme, "SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition," arxiv.org/abs/2601.12600
WAVLab | @CarnegieMellon retweeted
Shih-Heng Wang, Jiatong Shi, Jinchuan Tian, Haibin Wu, Shinji Watanabe, "Do Neural Codecs Generalize? A Controlled Study Across Unseen Languages and Non-Speech Tasks," arxiv.org/abs/2601.12205
WAVLab | @CarnegieMellon retweeted
Heading to NeurIPS 2025 in San Diego!
I’ll present our spotlight poster, ARECHO, focusing on speech multi-metric estimation.
📍 Exhibit Hall C,D,E #2000
🗓️ Thu Dec 4, 11 a.m.–2 p.m. PST
If you’re around, let’s say hi or grab a coffee!
WAVLab | @CarnegieMellon retweeted
This is exactly the reason we worked for ESPnet-Codec, but being really hard to keep tracking as people are fast nowadays.
The similar issue happens at most speech tasks from ASR, TTS, to general speech LLM. It's a bit sad time for driving scientific findings 🥲
WAVLab | @CarnegieMellon retweeted
Speech isn’t just sound -> it’s how we turn thought into expression.
Our new work, Speech-DRAME, measures how well speech AI can act, aligning evaluation with human perception.
Paper: arxiv.org/abs/2511.01261
Code: github.com/Anuttacon/speech_…
WAVLab | @CarnegieMellon retweeted
🚀 I’m open to new opportunities in industry!
Ph.D. candidate @CMU (advisor: @shinjiw_at_cmu ).
Research: speech/audio AI, speech LLMs, evaluation frameworks.
Ex-Meta AI, Tencent, IBM Research.
DMs open — let’s connect!















